BACKGROUND: Brown adipose tissue (BAT) has been proposed as a target to treat obesity and metabolic disease. Currently, 18 F-Fluordeoxyglucose positron emission tomography (FDG-PET) is the standard for BAT-imaging. MRI might be a promising alternative, as it is not associated with ionizing radiation, offers a high resolution, and allows to discriminate different types of soft tissue. PURPOSE: We sought to evaluate whether supraclavicular BAT (scBAT) volume, fat-fraction (FF), and relaxation rate (R2*) determined by MRI can predict its metabolic activity, which was assessed by measurement of cold-induced thermogenesis (CIT). STUDY TYPE: Prospective cohort study. SUBJECTS: Twenty healthy volunteers (9 female, 11 male), aged 18-47 years, with a body mass index (BMI) of 18-30 kg/m2 . FIELD STRENGTH/SEQUENCE: Multiecho gradient MRI for water-fat separation was used on a 3T device to measure the FF and T2 * of BAT. ASSESSMENT: Prior to imaging, CIT was determined by measuring the difference in energy expenditure (EE) during warm conditions and after cold exposure. Volume, FF, and R2* of scBAT was assessed and compared with CIT. In 11 participants, two MRI sessions with and without cold exposure were performed and the dynamic changes in FF and R2* assessed. STATISTICAL TESTS: Linear regression was used to evaluate the relation of MRI measurements and CIT. P-values below 0.05 were considered significant; data are given as mean ± SD. RESULTS: R2* correlated positively with CIT (r = 0.64, R2 = 0.41 P = 0.0041). Volume and FF did not correlate significantly with CIT. After mild cold exposure EE increased significantly (P = 0.0002), with a mean CIT of 147 kcal/day. The mean volume of scBAT was 72.4 ± 38.4 ml, mean FF was 74.3 ± 5.8%, and the mean R2* (1/T2 *) was 33.5 ± 12.7 s-1 . DATA CONCLUSION: R2* of human scBAT can be used to estimate CIT. FF of scBAT was not associated with CIT. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:1160-1168.
BACKGROUND: Brown adipose tissue (BAT) has been proposed as a target to treat obesity and metabolic disease. Currently, 18 F-Fluordeoxyglucose positron emission tomography (FDG-PET) is the standard for BAT-imaging. MRI might be a promising alternative, as it is not associated with ionizing radiation, offers a high resolution, and allows to discriminate different types of soft tissue. PURPOSE: We sought to evaluate whether supraclavicular BAT (scBAT) volume, fat-fraction (FF), and relaxation rate (R2*) determined by MRI can predict its metabolic activity, which was assessed by measurement of cold-induced thermogenesis (CIT). STUDY TYPE: Prospective cohort study. SUBJECTS: Twenty healthy volunteers (9 female, 11 male), aged 18-47 years, with a body mass index (BMI) of 18-30 kg/m2 . FIELD STRENGTH/SEQUENCE: Multiecho gradient MRI for water-fat separation was used on a 3T device to measure the FF and T2 * of BAT. ASSESSMENT: Prior to imaging, CIT was determined by measuring the difference in energy expenditure (EE) during warm conditions and after cold exposure. Volume, FF, and R2* of scBAT was assessed and compared with CIT. In 11 participants, two MRI sessions with and without cold exposure were performed and the dynamic changes in FF and R2* assessed. STATISTICAL TESTS: Linear regression was used to evaluate the relation of MRI measurements and CIT. P-values below 0.05 were considered significant; data are given as mean ± SD. RESULTS: R2* correlated positively with CIT (r = 0.64, R2 = 0.41 P = 0.0041). Volume and FF did not correlate significantly with CIT. After mild cold exposure EE increased significantly (P = 0.0002), with a mean CIT of 147 kcal/day. The mean volume of scBAT was 72.4 ± 38.4 ml, mean FF was 74.3 ± 5.8%, and the mean R2* (1/T2 *) was 33.5 ± 12.7 s-1 . DATA CONCLUSION: R2* of human scBAT can be used to estimate CIT. FF of scBAT was not associated with CIT. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:1160-1168.
Authors: Cora Held; Daniela Junker; Mingming Wu; Lisa Patzelt; Laura A Mengel; Christina Holzapfel; Maximilian N Diefenbach; Marcus R Makowski; Hans Hauner; Dimitrios C Karampinos Journal: Quant Imaging Med Surg Date: 2022-05
Authors: Claudia Irene Maushart; Jaël Rut Senn; Rahel Catherina Loeliger; Marius E Kraenzlin; Julian Müller; Anton S Becker; Miroslav Balaz; Christian Wolfrum; Irene A Burger; Matthias Johannes Betz Journal: Front Endocrinol (Lausanne) Date: 2021-06-14 Impact factor: 5.555
Authors: Stephan M Oreskovich; Frank J Ong; Basma A Ahmed; Norman B Konyer; Denis P Blondin; Elizabeth Gunn; Nina P Singh; Michael D Noseworthy; Francois Haman; Andre C Carpentier; Zubin Punthakee; Gregory R Steinberg; Katherine M Morrison Journal: J Endocr Soc Date: 2019-10-14